About the Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams:

  • Growth - Consumer
  • Growth - Marketing
  • Logistics & Platform
  • Merchant & Sales
  • New Business Verticals
  • Operational Excellence - Customer Experience
  • Operational Excellence - Fraud

About the Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We tackle a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you!

You’re excited about this opportunity because you will

  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • Work alongside and mentor junior analysts on how to use more advanced methods and solve challenges
  • Produce recommendations and use statistical techniques and hypothesis testing to validate your findings 
  • Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Work backwards from understanding and sizing problems to ideating solutions
  • Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
  • Collaborate with engineering to implement, document, validate, and monitor our logging

We’re excited about you because you have…

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
  • 5+ years of experience in data analytics, consulting, or related quantitative role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead projects to completion in a scrappy environment

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

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At DoorDash, we strive to create a culture of belonging where everyone can bring their best selves to work. Our goal is to ensure that diverse identities and perspectives are valued and can thrive. We are continuously evaluating our employee and candidate programs and processes and identifying ways to ensure they are inclusive and equitable. We encourage you to share a bit more about yourself below so we can continue to improve the overall candidate experience and inform future diversity and inclusion initiatives. 

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